Abstract
To gain insight into increasingly intricate business, and deal with highly complex problem situations, an enterprise needs a more generic, standardized, pervasive and scalable infrastructure to fully leverage the information from different data sources, applications, and environments at both system and semantic level. In this context, we first discuss the state of the art of current approaches and solutions of EII (Enterprise Information Integration). Then, we outline the grand challenges of EII from technical perspective based on the analysis of framework, range, scale and performance.
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© 2006 International Federation for Information Processing
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Zhou, J., Wang, M., Zhao, H. (2006). Enterprise Information Integration: State of the Art and Technical Challenges. In: Wang, K., Kovacs, G.L., Wozny, M., Fang, M. (eds) Knowledge Enterprise: Intelligent Strategies in Product Design, Manufacturing, and Management. PROLAMAT 2006. IFIP International Federation for Information Processing, vol 207. Springer, Boston, MA . https://doi.org/10.1007/0-387-34403-9_118
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DOI: https://doi.org/10.1007/0-387-34403-9_118
Publisher Name: Springer, Boston, MA
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